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Gemini 1.0 Pro vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 26.0% higher average benchmark score. GPT-4.1 mini offers 1.0M more tokens in context window than Gemini 1.0 Pro. Both models have similar pricing. GPT-4.1 mini supports multimodal inputs. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
1 year newer
Gemini 1.0 Pro
2024-02-15
GPT-4.1 mini
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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GPT-4.1 mini
Input:$0.40
Output:$1.60
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemini 1.0 Pro
Average Score:48.6%
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GPT-4.1 mini
Average Score:74.6%(+26.0%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
GPT-4.1 mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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GPT-4.1 mini
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Gemini 1.0 Pro
Avg Score:48.6%
Providers:1
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GPT-4.1 mini
Avg Score:74.6%(+26.0%)
Providers:2